Over the past few years, the Federal Highway Administration has collected aerial traffic flow data by time-lapse photography with a helicopter-mounted camera. The raw car trajectories developed from this data base are discrete in time. In this study, a methodology was developed to produce continuous car trajectories from the discrete data base, i.e., the data base thus obtained gives location, speed and acceleration as a continuous function of time. These continuous car trajectories were then used to develop some microscopic and macroscopic characteristics of multilane traffic flow. The microscopic results consist of statistical descriptions of the behavior of individual vehicles which are either in a car following situation because they are unable to pass or who are in the process of accepting a gap in an adjacent lane when they are able to change lanes. The macroscopic results in this study consist of statistical descriptions of traffic density, which is a bulk parameter representing the number of cars in a given roadway section.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Characteristics of Multilane Traffic Flow from Aerial Data


    Beteiligte:
    R. Agahi (Autor:in) / A. V. Gafarian (Autor:in) / P. Jagger (Autor:in) / L. T. Nguyen (Autor:in) / J. Pahl (Autor:in)

    Erscheinungsdatum :

    1976


    Format / Umfang :

    135 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Intersection Planning for Multilane Unmanned Aerial Vehicle Traffic Management

    Nagrare, Samiksha Rajkumar / Ratnoo, Ashwini / Ghose, Debasish | AIAA | 2023


    Stochastic model for multilane traffic flow

    Holland, H.J. | Engineering Index Backfile | 1967



    Multilane traffic flow dynamics: Some macroscopic considerations

    Michalopoulos, Panos G. / Beskos, Dimitrios E. / Yamauchi, Yasuji | Elsevier | 1983


    Modelling Traffic Flow at a Multilane Intersection

    Wang, Ruili / Ruskin, Heather J. | Springer Verlag | 2003